Safety analytics at a granular level using a Gaussian process modulated renewal model: A case study of the COVID-19 pandemic

With the advance of intelligent transportation system technologies, contributing factors to crashes can be obtained in real time. Analyzing these factors can be critical in improving traffic safety. Despite many crash models having been successfully developed for safety analytics, most models associ...

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Detalles Bibliográficos
Autores principales: Lei, Yiyuan, Ozbay, Kaan, Xie, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125007/
https://www.ncbi.nlm.nih.gov/pubmed/35623304
http://dx.doi.org/10.1016/j.aap.2022.106715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125007/
https://www.ncbi.nlm.nih.gov/pubmed/35623304
http://dx.doi.org/10.1016/j.aap.2022.106715

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